Sep 2024 – Dec 2024 · 3 mos · Bengaluru, Karnataka, India · Hybrid

• ✔️ Designed and implemented the Data Warehouse architecture from the ground up for financial asset management use cases, supporting data scalability and performance for 100+ million records across multiple datasets.
• ✔️ Developed and integrated a data loader layer to ingest data from 2+ diverse data sources into Snowflake’s raw layer, reducing data ingestion time by 30%
• ✔️ Created and maintained 20+ dbt models for transforming data across layers (raw, staging, RDWH) and building 10+ customer-specific business data marts, enabling faster and more accurate reporting.
• ✔️ Collaborated with the CFO and VP to align data solutions with business goals, driving product scalability and increasing customer adoption through improved analytics capabilities.

Apr 2021 – Jun 2024 · 3 yrs 2 mos · Tokyo, Tokyo, Japan · Remote

• ✔️ Designed and developed a Data Analytics Platform to analyze user data for personalized interactions and campaign optimization.
• ✔️ Engineered a robust data pipeline using dbt, GCP BigQuery, and Airflow to process and analyze TBs of data weekly, improving data retrieval times by 50% and enabling more accurate predictive modeling.
• ✔️ Optimized the data processing pipeline, achieving an 85-90% reduction in costs and processing time, and a 10x speed increase.
• ✔️ Developed a Vertex AI Pipelines-based production pipeline for ML use cases, enhancing training efficiency by 50% and availability by 40%.
• ✔️ Developed and optimized scalable data marts using ETL pipelines in Python, SQL, and Spark, reducing query times by 35% over a period of 12 months.
• ✔️ Implemented real-time streaming pipelines using PySpark for a recommendation engine, leading to a 20% increase in user engagement and a 15% boost in conversion rates by delivering personalized offers in real-time.

Jan 2020 – Apr 2021 · 1 yr 3 mos

• ✔️ Developed and deployed a healthcare analytics platform and data warehouse on GCP Cloud, utilizing BigQuery for data storage and analytics, and Dataflow for efficient data processing.
• ✔️Achieved a 60% improvement in data accessibility and reduced processing time by 70% through optimized data pipelines.
• ✔️ Utilized data engineering tools - Airflow for workflow management and dbt for data transformation on GCP and Provided actionable insights to healthcare professionals, resulting in a 30% enhancement in Business KPIs delivery efficiency.
• ✔️ Collaborated with data scientists to enhance AI models for predictive analytics in patient outcomes and personalized treatments.
• ✔️ Integrated AI models into production using GCP AI Platform and TensorFlow, leveraging Vertex Pipelines for machine learning operations, which improved prediction accuracy by 20%. Used Federated Learning for cross-country data analysis and model training to ensure data sensitivity and governance, utilizing Nvidia Clara for enhanced data security and compliance.

Sep 2018 – Jan 2020 · 1 yr 4 mos

• ✔️ Enhanced business insights through advanced data engineering techniques, ensuring robust data management and real-time insights delivery for marketing analytics use cases, leading to a 20% increase in sales efficiency and more effective targeting by sales teams.
• ✔️ Created a scalable GCP data warehouse, optimizing data accessibility and analytics capabilities for managing large datasets effectively.
• ✔️ Optimized data processing and analysis workflows with GCP services and PySpark, improving operational efficiency and decision-making.
• Implemented CRM solutions integrating GA360, Salesforce Marketing Cloud, and other data sources to enhance user profiling and targeted marketing strategies, resulting in a 15% increase in conversion rates.
• ✔️ Contributed to enhanced customer satisfaction by leveraging data-driven strategies and technologies effectively in business operations.

Sep 2017 – Sep 2018 · 1 yr

• ✔️ Designed and implemented a GCP-hosted microservices platform for Speech and Recognition analytics, ensuring secure and efficient resource access.
• ✔️ Collaborated with a Data Scientist to improve speech recognition accuracy, driving business growth and customer satisfaction.
• ✔️ Developed backend services integrating analytics KPIs, such as user interaction metrics and speech analytics use cases, providing useful data features for enhancing model performance and operational efficiency, resulting in a 25% increase in speech recognition accuracy.
• ✔️ Deployed data workflows and pipelines on GCP, reducing data processing time by 30% and accelerating model training cycles.
• ✔️ Demonstrated expertise in data engineering, MLOps, and cloud infrastructure to deliver impactful solutions aligned with business objectives.

May 2016 – Jun 2016 · 1 mo · Banglore,India

• I developed a working model for kiosk machine using arduino and hardware needed for the development along with open source tools like C,PHP, MySQL and PHPWord Library.